
Business Intelligence Developer
2 days ago
The Senior Business Intelligence Analyst will play a pivotal role in delivering cutting-edge analytics solutions across the UK and Ireland. This position focuses on bespoke report development, dashboard engineering, and advanced data analysis using technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R.
- Main Responsibilities:
- Create interactive dashboards and reports using Power BI and Microsoft Fabric to support business decision-making.
- Perform advanced data analysis and visualisation to uncover actionable insights.
- Develop and maintain data pipelines and queries using SQL and Python to drive business growth.
- Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve complex problems.
- Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows.
- Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks.
- Deploy models into production environments and monitor their performance over time to ensure consistent value delivery.
- Collaborate with stakeholders to translate business questions into data-driven solutions and communicate findings effectively.
- Use statistical techniques and hypothesis testing to validate assumptions and inform decision-making.
- Document data science workflows and maintain reproducibility of experiments and models.
- Support the Business Intelligence Manager in delivering analytics projects and mentoring junior analysts.
- Professional Certifications:
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
- SnowPro Core Certification (Snowflake)
- Microsoft Certified: Azure Data Engineer Associate
- AWS Certified: Data Analytics – Specialty
- Technical Expertise:
- Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R.
- Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue.
- Hands-on experience in building and deploying machine learning models.
- Ability to translate complex data into actionable insights.
- Excellent problem-solving and communication skills.
Financial:
- Contributes to revenue growth through data-driven client solutions.
Non-Financial:
- Drives adoption of modern analytics tools and practices.
- Builds strong relationships across business units and with external clients.
We offer an opportunity to work with our team of experts to develop your skills and knowledge in data science and business intelligence.
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